Recognition of Bangla Handwritten Characters Using an MLP Classifier Based on Stroke Features-Reference-Cited by-同舟云学术

Recognition of Bangla Handwritten Characters Using an MLP Classifier Based on Stroke Features

Published:2004 Issue: Volume: Page:814-819
ISSN:0302-9743
Container-title:Neural Information Processing
language:
Short-container-title:

Author:

Bhowmik T. K.,Bhattacharya U.,Parui Swapan K.

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-540-30499-9_125.pdf

Reference14 articles.

1. Senior, A.W.: Off-Line Cursive Handwriting Recognition using NNs. PhD Dissertation. University of Cambridge, England (1994)

2. Plamondon, R., Srihari, S.N.: On-Line and Off-Line Handwriting Recognition: A Comprehensive Survey. IEEE Trans. Patt. Anal. and Mach. Intell. 22, 63–84 (2000)

3. Connell, S.D., Sinha, R.M.K., Jain, A.K.: Recognition of Unconstrained On-Line Devnagari Characters. In: Proc. of the 15th Int. Conf. on Patt. Recog., Bercelona, Spain, pp. 368–371 (2000)

4. Sethi, K.: Machine Recognition of Constrained Handprinted Devnagari. Pattern Recognition 9, 69–75 (1977)

5. Datta, A., Chaudhury, S.: Bengali Alpha-Numeric Character Recognition using Curvature Features. Pattern Recognition 26, 1757–1770 (1993)

Cited by 30 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. juktoMala: A Handwritten Bengali Consonant Conjuncts Dataset for Optical Character Recognition Using BiT-based M-ResNet-101x3 Architecture;2023 International Conference on Electrical, Computer and Communication Engineering (ECCE);2023-02-23

2. Efficient Approach to Using CNN-Based Pre-trained Models in Bangla Handwritten Digit Recognition;Computational Vision and Bio-Inspired Computing;2023

3. KDANet: Handwritten Character Recognition for Bangla Language using Deep Learning;2022 25th International Conference on Computer and Information Technology (ICCIT);2022-12-17

4. Bengali Handwritten Digit Recognition using CNN with Explainable AI;2022 4th International Conference on Sustainable Technologies for Industry 4.0 (STI);2022-12-17

5. Machine and Deep Learning Classifiers for Indic Scripts Recognition: Challenges and Research Perspective;2022 2nd International Conference on Technological Advancements in Computational Sciences (ICTACS);2022-10-10